Modeling and Optimization of a Combined Ozonation and Microalgae Cultivation Process using Nutrients from Landfill Leachate

Abstract To couple an integrated system for the optimized cultivation of Chlorella vulgaris in a photobioreactor, using real-time monitoring through an RGB sensor, together with pretreatment by ozonation in a rotating packed bed (RPB) reactor, this study applied response surface methodology based on a Central Composite Design (CCD) and multiobjective optimization using the Normal Boundary Intersection (NBI) algorithm. Raw landfill leachate presented initial values of COD = 3540 mg L⁻1, BOD = 312 mg L⁻1, NH₃–N = 2965 mg L⁻1 and an initial BOD/COD ratio of 0.08. The ozonation pretreatment was carried out in an RPB reactor operating at 1000 rpm, with ozone concentrations ranging from 2.0 to 10.8 g O₃ m⁻3 and pH values between 4.3 and 9.2. Under optimized conditions (pH ≈ 7.0 and ozone concentration ≈ 2.7 g O₃ m⁻3), the BOD/COD ratio increased from 0.08 to approximately 0.28–0.30, representing an increase of more than 250%, while COD was reduced by up to 70%. Although ammoniacal nitrogen removal during ozonation was limited, NH₃–N concentrations decreased from 2965 mg L⁻1 to approximately 2024 mg L⁻1, enabling its subsequent use as a nutrient source for microalgal cultivation. Batch cultivation assays using treated leachate (80 mL) mixed with microalgal culture (120 mL) demonstrated effective nitrogen assimilation, achieving residual NH₃–N concentrations below 300 mg L⁻1 and biomass concentrations up to 299 mg L⁻1. The integration of automated monitoring based on RGB color stabilization allowed real-time identification of the stationary growth phase and controlled feeding of pretreated leachate. The combined ozonation–microalgae system demonstrated technical feasibility, reduced external nutrient demand by up to 75%, and enhanced biomass production using landfill leachate as a macronutrient source. This integrated and optimized approach represents a sustainable strategy for landfill leachate valorization, combining advanced oxidation, process automation, and microalgal biotechnology. Graphical Abstract

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Publication Details

Journal
Waste and Biomass Valorization
Published
2026-01-22
DOI
https://doi.org/10.1007/s12649-025-03472-0
Primary Topic
Algal biology and biofuel production
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling and Optimization of a Combined Ozonation and Microalgae Cultivation Process using Nutrients from Landfill Leachate

Társis Prado Barbosa, Gisella Lamas Samanamud, Renata Carolina Zanetti Lofrano, Vagner Fernandes Knupp et al.
Waste and Biomass Valorization
Algal biology and biofuel production
article

Modeling and Optimization of a Combined Ozonation and Microalgae Cultivation Process using Nutrients from Landfill Leachate

Társis Prado Barbosa, Gisella Lamas Samanamud, Renata Carolina Zanetti Lofrano, Vagner Fernandes Knupp, José Izaquiel Santos da Silva, Felipe Tadeu Fiorini Gomide, Fabiano Luiz Naves, Heloissy Constantino Mascarenhas Simão, Nanda Souza Duarte, Gabriela Gomes Pires de Paula, Moises Azarias Manhice, Mateus Souza Amaral
article en

Abstract

Abstract To couple an integrated system for the optimized cultivation of Chlorella vulgaris in a photobioreactor, using real-time monitoring through an RGB sensor, together with pretreatment by ozonation in a rotating packed bed (RPB) reactor, this study applied response surface methodology based on a Central Composite Design (CCD) and multiobjective optimization using the Normal Boundary Intersection (NBI) algorithm. Raw landfill leachate presented initial values of COD = 3540 mg L⁻1, BOD = 312 mg L⁻1, NH₃–N = 2965 mg L⁻1 and an initial BOD/COD ratio of 0.08. The ozonation pretreatment was carried out in an RPB reactor operating at 1000 rpm, with ozone concentrations ranging from 2.0 to 10.8 g O₃ m⁻3 and pH values between 4.3 and 9.2. Under optimized conditions (pH ≈ 7.0 and ozone concentration ≈ 2.7 g O₃ m⁻3), the BOD/COD ratio increased from 0.08 to approximately 0.28–0.30, representing an increase of more than 250%, while COD was reduced by up to 70%. Although ammoniacal nitrogen removal during ozonation was limited, NH₃–N concentrations decreased from 2965 mg L⁻1 to approximately 2024 mg L⁻1, enabling its subsequent use as a nutrient source for microalgal cultivation. Batch cultivation assays using treated leachate (80 mL) mixed with microalgal culture (120 mL) demonstrated effective nitrogen assimilation, achieving residual NH₃–N concentrations below 300 mg L⁻1 and biomass concentrations up to 299 mg L⁻1. The integration of automated monitoring based on RGB color stabilization allowed real-time identification of the stationary growth phase and controlled feeding of pretreated leachate. The combined ozonation–microalgae system demonstrated technical feasibility, reduced external nutrient demand by up to 75%, and enhanced biomass production using landfill leachate as a macronutrient source. This integrated and optimized approach represents a sustainable strategy for landfill leachate valorization, combining advanced oxidation, process automation, and microalgal biotechnology. Graphical Abstract

Waste and Biomass Valorization
Universidade Federal dos Vales do Jequitinhonha e Mucuri (BR), Pain Management Center of Paducah (US), Federal University of São João del-Rei (BR), Institute of Mining (RU)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Universidade Federal de São João del-Rei
Openalex Percentile: Top 82%
Algal biology and biofuel production
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